Transcendental terms appear in the characteristic equaiton of a power system when time delays of wide area feedback signals are considered.This makes it very difficult to obtain critical system eiganvalues via direct solution of the equation.A method for computation of partial eigenvalues of time-delayed power system is proposed by using Pade rational polynomials to approximate the delay terms.The polynomials are firstly transformed into equivalent state-space representations then balanced.Based on interconnections with the original power system without time delay and the wide area damping controllers,the linear model for the time-delayed power system is established.Finally,sparse eigenvalue algorithms can be used to compute partial eigenvalues of the system according to the sparse characteristics of system coefficient matrices.The method makes it possible to analyze power system small disturbance stability and design wide area damping controller by inheriting the conventional method and theoretical framework of eigenvalue.The eigenvalues and their sensitivities with respect to time delay on both the two-area four-machine and the New England10-machine39-bus test systems demonstrate that the method proposed can accurately compute some eigenvalues relating to system dynamic components.The number of correctly solved eigenvalues corresponding to the time delay and their accuracy strongly relates to the order of the Pade rational polynomial.
High-efficiency Eigenvalue Calculation Method for Large-scale Time-delay Power System Based on Partial Infinitesimal Generator Discretization with Implicit Runge-Kutta
基于Pade近似的广域电力系统关键模态时滞轨迹分析
基于最小均方时延估计法的强迫功率振荡扰动源定位方法
单时滞电力系统时滞稳定裕度的简便求解方法
白噪声激励下的低频振荡模态参数辨识方法
Related Author
JIA Xiaofan
YE Hua
LIU Yutian
LIU Muyang
NIE Yonghui
ZHU Zhenshan
LIU Zhaoyan
QI Jun
Related Institution
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University)
School of Electrical Engineering, Xinjiang University
Academic Administration Office, Northeast Electric Power University